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Data Engineer

PeopleNTech LLC

  • Atlanta, GA
  • 30+ days ago
  • Remote

    Highlights

    Data Engineering Skilled in building scalable cloud data pipelines for high-volume manufacturing and IoT data using Spark, Kafka, Airflow, and Delta Lake. As part of our commitment to our employees, Nagarro provides a robust benefits package for full-time employees, which includes: Medical Coverage, Dental and Vision (100% Nagarro contribution for the employee, 80% contribution for immediate dependents).

    Numbers & Facts

    LocationAtlanta, GA (
    Remote
    )

    Description

    Role: Data Engineer
    Location: Remote, USA
    Duration: Fulltime Employee
    Numbers of Interview: 3 to 4
    Mode of Interviews – Virtual
    Tentative start date – ASAP
    Salary :
    USD $124,414 ($113,104 Base salary + 5% Organizational bonus + 5% Performance Bonus) + Benefits.
    As part of our commitment to our employees, Nagarro provides a robust benefits package for full-time employees, which includes:
    • Medical Coverage, Dental and Vision (100% Nagarro contribution for the employee, 80% contribution for immediate dependents).
    • 15 days of Paid Time Off (PTO).
    • 10 paid holidays (including 8 fixed holidays and 2 floating holidays).
    • 401K enrollment with a 100% employee contribution (please note that we do not provide a matching contribution).
    Job Overview:
    • Manufacturing 8–10 years in manufacturing (optional) with hands-on experience in shop floor operations, production planning, and systems including MES, SCADA, and ERP.
    • Proficient in industrial protocols (OPC-UA, MQTT, Modbus) with ability to bridge OT/IT systems for real-time data extraction.
    • Applied experience with OEE, Six Sigma, SPC, and lean methodologies to drive measurable gains in yield, uptime, and efficiency.
    • Data Engineering Skilled in building scalable cloud data pipelines for high-volume manufacturing and IoT data using Spark, Kafka, Airflow, and Delta Lake. Strong SQL and Python proficiency with hands-on experience in medallion/ lakehouse architectures on Databricks, Snowflake, AWS, or Azure.

    Must have skills:
    • Minimum 8 - 10 years of experience.
    • Strong in SQL and Python proficiency with hands-on experience in medallion/lakehouse architectures on Databricks, Snowflake, AWS, or Azure.

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